Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

In order to investigate proteins in their natural environment one can attach tiny reporter molecules to them that can be traced with appropriate instruments. However, these small reporter molecules may often cause strong perturbations to the functionality of the proteins, or cannot be seen due to experimental restrictions like low concentrations. Bioorthogonal chemistry aims to […]

The main goal of this project is to develop a more advanced version of the Robotic Stairclimbing Assistant (ROSA), a stair-climbing domestic service robot developed by Quantum Robotic Systems. ROSA can carry heavier household items (e.g., laundry baskets, bins, etc.) between rooms and up stairs. ROSA is meant to help seniors, people with compromised mobility, […]

The goal of this research project is to create a novel type of biosensor by combining two complimentary microfabrication techniques. First, a silicon chip containing JFET transistors with an open gate will be fabricated using traditional microfabrication techniques that are highly reliable and give good performance. Second, a graphene layer will be inkjet printed onto […]

Solar power currently makes up a tiny fraction of all global energy needs. The current silicon based solar cell technologies which on average operate at around 15-17% efficiency have low likelihood of being a total fossil fuel replacement. They have very slow energy payback, their mass production cost savings are hitting a wall, and they […]

We are proposing to help design the experimental setup to characterize chip-scale Optical Phased Arrays (OPAs). OPAs – a photonic device used for optical beam forming and beam steering – have been widely studied for LiDAR, optical sensing, free-space communication and more. Building on previously prototyped phase array antenna design at Honeywell, the team aims […]

D-Wave’s quantum computer is good at solving a specific type of problems known as Ising spin problems. However, in order to solve one of these spin problems, you must first solve another hard problem—embedding the spin problem on D-Wave’s quantum processor. From the land of discrete mathematics, this embedding problem falls into a well studied […]

The efficiency of many chemical reactions is improved by addition of metal-based catalysts to the solution, however, the best of these catalysts are often based on some of the scarcest elements on the periodic table. The high costs of obtaining these elements makes catalysts based on ore Earth-abundant elements, but these base metals often do […]

De nombreuses structures sont enfouies sous terre dont les conduites de transport de liquide dangereux tel que le pétrole. Lorsqu’une alerte est donnée pour indiquer qu’il y a possiblement une faille dans une zone de la conduite, identifier l’emplacement de la faille nécessite soit de déterrer la conduite, soit l’utilisation de magnétomètre (détecteur de champ […]

D-Wave systems purports to have designed a quantum processor based on scalable architecture that physically implements quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. In order for D-Wave devices to exhibit a performance advantage over classical processors, it is necessary that the devices utilize a resource that […]

Laws of physics combined with computational prowess has allowed us to simulate biological processes at a molecular level, which have a wide range of applications which include guiding experimental observations, designing drugs with molecular precision, and improving bio-sensor technology. However, the existing models use approximations that that limit scope of their applicability, due to the […]

The Quantum Autoencoder was proposed as a device which can compress quantum states efficiently. One possible application on near term quantum devices would be the compression of quantum data in order to protect it from decoherence effects. The compression however, also introduces noise to the quantum states so that it will not always be beneficial […]